Very helpful, great, many thanks!
 
Best,
Wolff

>>> "Anderson M. Winkler" <wink...@fmrib.ox.ac.uk> 11.02.2013 15:57 >>>
Dear Wolff,

Compared to vertexwise, analysis of regions (ROIs) have different features. If 
the area of true signal spans the whole region, or large parts of it, then an 
ROI analysis tend to be more powerful as the noise is diluted when the vertices 
that comprise the ROI are summed or averaged. However, ROI analyses can also be 
less powerful if the signal does not span the whole region, or is split across 
multiple regions. This alone could explain your observation.

Does this help?

All the best!

Anderson



2013/2/11 Wolff Schlotz <wolff.schl...@psychologie.uni-regensburg.de>


Dear Anderson (and all),
Many thanks for your reassuring response, but I am still puzzled about the lack 
of association between mean area (rh_medialorbitofrontal_area) and area in qdec 
(see area.png). I thought that technically there must be larger areas for 
vertices within medialorbitofrontal? 
Best wishes,
Wolff

>>> "Anderson M. Winkler" <wink...@fmrib.ox.ac.uk> 11.02.2013 14:22 >>>
Dear Wolff,

There is nothing wrong with your results. Your finding is one more confirmation 
that thickness and area are indeed different traits, which are influenced 
differently by different genetic and/or environmental factors, and should not 
be confused one with another. They represent different aspects of brain 
morphology and its development, and can (and should) be analyzed and 
interpreted each on its own right.

It is also evidence that more power can be gained by using these two 
measurements separately, rather than mixed up as in methods that only measure 
gray matter volume.

Assuming you did everything else correctly, your results look perfectly fine to 
me.

All the best!

Anderson



2013/2/11 Wolff Schlotz <wolff.schl...@psychologie.uni-regensburg.de>


Dear Freesurfer experts,
I tested associations between a continuous predictor and thickness and area in 
qdec (and command line mri_glmfit, which gives the same results) and found a 
cluster being negatively associated with thickness orbitofrontal, but nothing 
for area orbitofrontal. After exporting mean thickness and area values from 
aparc.stats into Stata, consistent with my expectation I found a significant 
negative correlation with my predictor for thickness. However, I also found a 
significant positive association between birth weight and area.
To check what might be wrong I tested correlations between mean 
medialorbitofrontal thickness from rh.aparc.thickness and thickness in qdec and 
did the same for area. As expected, large average thickness values were 
positively associated with thickness in medialoribotfrontal and adjacent areas 
(see attached qdec screenshot thickness.png), but there were no associations 
using area (see attached qdec screenshot area.png). My expectatioin was that 
there should be positive area associations similar to those for thickness.
Hence my question: Is this expectation correct? If yes, why this discrepancy 
between thickness and area?
Thank you.


Wolff

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